Senior Staff Engineer - 5G Systems Engineer

Qualcomm; Delhi; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Qualcomm is seeking a lead engineer in Delhi to drive 5G/5G-Advanced/LTE systems performance characterization and optimization. Responsibilities include conducting OTA field trials and addressing interoperability issues with network equipment providers.

The ideal candidate will possess a strong background in digital communications and wireless technologies, and demonstrate enthusiasm for using AI/ML techniques to extract insights from network data.

Qualifications

• Strong background in digital communications and wireless technologies.
• Experience with systems performance characterization and optimization.
• Enthusiastic about applying AI/ML techniques to network data.

Responsibilities

• Drive 5G/5G-Advanced/LTE systems performance characterization.
• Conduct OTA field trials of new features.
• Evaluate system performance and contribute to design optimization.

Skills

Digital communications

Wireless technologies

Computer networks

AI/ML techniques

Job description

Company

Qualcomm India Private Limited

Job Area

Engineering Group > Systems Engineering

Overview

This lead engineering position focuses on driving 5G/5G-Adv/LTE systems performance characterization and optimization, conducting OTA field trials of new features, and supporting discussions and demos around emerging technologies such as NTN, 6G, and ISAC. The role involves working closely with wireless operators, infrastructure vendors, and R&D teams on cutting‑edge wireless technologies. Responsibilities include resolving inter‑operability issues with network equipment providers, evaluating system performance (coverage, capacity, mobility), and contributing to design, optimization, and capacity estimation work. The position also covers debugging of air‑interface and core‑network issues, authoring white papers, and supporting the development of new technology inter‑operability tests and lab performance studies. Candidates should have a strong background in digital communications, wireless, and computer networks, and be enthusiastic about applying AI/ML techniques to extract value from network logs and data.